Animated Gapminder Data
For a demonstration of plot that we animate to view evolution over time, see Figure 1.
Code
import plotly.express as px
gp = px.data.gapminder()
px.scatter(gp, x="gdpPercap", y="lifeExp",
animation_frame="year", animation_group="country",
size="pop", color="continent", hover_name="country",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90])
Code
import altair as alt
import math
my_si = alt.selection_interval()
gp['gdpPercapLog'] = gp['gdpPercap'].apply(lambda x: math.log(x))
points = alt.Chart(gp).mark_point().encode(
alt.X('gdpPercapLog',scale=alt.Scale(domain=[4, 12])),
alt.Y('lifeExp',scale=alt.Scale(domain=[20, 90]))
).add_params(
my_si
)
barsX = alt.Chart(gp).mark_bar().encode(
alt.X('gdpPercapLog',bin=True,scale=alt.Scale(domain=[4, 12])),
y='count()'
).transform_filter(
my_si
)
barsY = alt.Chart(gp).mark_bar().encode(
alt.Y('lifeExp',bin=True,scale=alt.Scale(domain=[20, 90])),
x='count()'
).transform_filter(
my_si
)
chart = alt.vconcat(barsX,
alt.hconcat(points,barsY))
chart.show()